Performance resulting from knowledge and understanding of digital organization to digital government policy case study of the Office of the Civil Service Commission

Abstract

              The purposes of this study were : 1) To study the personal factors of Office of the Civil Service Commission influencing the performance of digital organizations. 2) To study the factors of knowledge and understanding of digital organization influencing the performance of the digital organization. This research is survey research. The questionnaires were randomly distributed to 258 users of the Office of the Civil Service Commission. The instruments used in the study was a questionnaire. The data were analyzed by using frequency, percentage, mean, standard deviation, t-test, f-test : One-way ANOVA and Correlation Coefficient

The findings indicated that the majority were female (55.80%), age 31-40 (34.50%), marry  status (46.10%), Bachelor degree (43.80%), position Academic (55.00%) Operating time 1-5 year (31.80%).

The analysis results of the research subjects’ general information revealed that knowledge and understanding factor of digital organization the high respectively is environmental (3.82%), Behavior modification (3.79), Perception (3.75) and Training (3.59).

The analysis results of the research subjects’ general information revealed that performance factor the high respectively is Time (4.12%), Quality and value (4.12%), and satisfaction (3.96).

Hypothesis test results personal factors conclusion by personal factors that are different in general no influence to performance of  digital organizations except position influence to performance of  digital organizations Different  was statistically significant at 0.05 level.

Hypothesis test results knowledge and understanding factor of  digital organizations influence to performance of  digital organizations conclusion by knowledge and understanding factor of  digital organizations that are different in general correlated to performance of  digital organizations was statistically significant at 0.01 level.